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Compositional Semantic Mix for Domain Adaptation in Point Cloud Segmentation.

, , , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 45 (12): 14234-14247 (December 2023)

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Regularized Evolutionary Algorithm for Dynamic Neural Topology Search., , , and . ICIAP (1), volume 11751 of Lecture Notes in Computer Science, page 219-230. Springer, (2019)Compositional Semantic Mix for Domain Adaptation in Point Cloud Segmentation., , , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 45 (12): 14234-14247 (December 2023)Incremental learning for the detection and classification of GAN-generated images., , , and . WIFS, page 1-6. IEEE, (2019)Overlap-guided Gaussian Mixture Models for Point Cloud Registration., , , , , and . WACV, page 4500-4509. IEEE, (2023)CoSMix: Compositional Semantic Mix for Domain Adaptation in 3D LiDAR Segmentation., , , , , and . ECCV (33), volume 13693 of Lecture Notes in Computer Science, page 586-602. Springer, (2022)Walking Your LiDOG: A Journey Through Multiple Domains for LiDAR Semantic Segmentation., , , and . ICCV, page 196-206. IEEE, (2023)SF-UDA3D: Source-Free Unsupervised Domain Adaptation for LiDAR-Based 3D Object Detection., , , , and . 3DV, page 771-780. IEEE, (2020)Novel Class Discovery for 3D Point Cloud Semantic Segmentation., , , and . CVPR, page 9393-9402. IEEE, (2023)GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR Segmentation., , , , , , , and . ECCV (33), volume 13693 of Lecture Notes in Computer Science, page 567-585. Springer, (2022)Data Augmentation-free Unsupervised Learning for 3D Point Cloud Understanding., , , , , , and . BMVC, page 1049. BMVA Press, (2022)